一类非线性混沌系统的RBF神经网络控制

Control for a class of nonlinear chaotic systems using radial basis function network

设计了一种基于径向基函数网络(RBFNS)的混沌非线性动力系统控制方法,将嵌入在混沌吸引子中不稳定周期轨道镇定到稳定不动点。用Logistic方程和Henon映射作数值仿真实验,证明了该方法的有效性。

A general method based on radial basis function networks (RBFNs) for the chaotic nonlinear dynamical system is presented to achieve and maintain control of the unstable periodic orbits embedded in a chaotic attractor. The simulation results of Logistic equation and Henon map illustrate the effectiveness of the proposed technique.